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20260329203643-74505162

Status
complete
Signed
409ffba3dd66...5ffbf106
Host
eimu
Operating System
Linux
Kernel 6.19.6
PHP
8.5.3
CPU
AMD Ryzen 9 5950X 16-Core Processor
Memory
31.2 GB
Disk
3.5 TB
Started
Generated
Signed By
runner-20260329222123
Processor
AMD Ryzen 9 5950X 16-Core Processor
32 cores · x86_64
Memory
31.2 GB
System RAM captured from manifest
DIMM_A2 16 GiB 2666 MT/s DDR4 F4-4266C19-16GVK DIMM_B2 16 GiB 2666 MT/s DDR4 F4-4266C19-16GVK
Disk
3.5 TB
/dev/nvme0n1
Device: /dev/nvme0n1 Capacity: 3.5 TB

Machine Runtime Envelope

End-to-end runtime figures across all non-warmup samples for postgresql.
Fastest Run
0.055730s
Average Run
0.167155s
Slowest Run
0.446809s
Cumulative Time
13.038s
Effective Speed
5.982/s
Measured Samples
78
Matrix Combinations
13
Scenarios
6

How Scenario Families Shift Rankings

Why the row shape changes rankings, and why the write/read mix changes what “fast” means.
Expand explanation
Family Pressure Why It Changes Speed Avg Runtime
simple baseline row shape Shows framework overhead with minimal field complexity, so object creation and query setup dominate. 0.099689s
canary mixed field and nullable stress Wide mixed records amplify casting, hydration, dirty tracking, and adapter metadata overhead. 0.154049s
int_fixed pure scalar writes A low-noise floor. Slow results here usually mean framework machinery is expensive even before text and cast-heavy payloads show up. 0.123969s
float_fixed numeric conversion paths Decimal and float normalization can widen update and verification cost, especially for ORMs that compare serialized values. 0.141195s
string_fixed predictable text hydration Column count and text assignment matter more than payload variability, which makes hydration strategy easier to isolate. 0.118621s
string_variable application-like text workload Variable strings and note fields make this the closest to real CRUD traffic and usually punish heavier active-record layers the most. 0.122112s
Operation Shape Why Models Move
Warmup vs hot runs Run 1 is warmup. Hot-path averages exclude it so boot and metadata setup do not dominate steady-state rankings.
Insert and indexed schemas Indexed tables make writes cost more because every insert and many updates must maintain secondary indexes as well as the row itself.
Read all vs read probes Read All rewards bulk hydration efficiency; random and tail probes expose per-query setup, lookup overhead, and tiny-result inefficiency.
Update with verification Each update shape is followed by a verification read, so dirty-checking, write SQL generation, hydration, and comparison all affect the final time.
Delete with confirmation Deletes are checked afterward. Frameworks that pay extra for follow-up lookups or teardown lose more time here than a bare SQL path.
Total runtime The total runtime metric is effectively a benchmark of the machine plus adapter behavior across the full workload, not just one CRUD verb.

Matrix Runtime Curve

Engine filter applies to the matrix chart, best-operation profile, and matrix table.
Cycle
postgresql
0.060871s
Atlas
postgresql
0.087134s
Propel2
postgresql
0.110159s
PHPFUIBatch
postgresql
0.113062s
PHPFUI
postgresql
0.114270s
Doctrine
postgresql
0.142154s
ActiveRecord
postgresql
0.144547s
DivergenceV3
postgresql
0.164651s
Yii
postgresql
0.176367s
CakeCached
postgresql
0.239076s
Cake
postgresql
0.240559s
RedBean
postgresql
0.273632s
Eloquent
postgresql
0.306529s

Scenario Families

simple
0.099689s
string_fixed
0.118621s
string_variable
0.122112s
int_fixed
0.123969s
float_fixed
0.141195s
canary
0.154049s

Operation Profile

Insert
0.005186s
Read
0.009485s
Update
0.026623s
Delete
0.004472s

Matrix Performance

Framework Storage Samples Total Insert Read Update Delete
Cycle
2.16.0
postgresql 312 0.060871s 0.005186s 0.009485s 0.026623s 0.004472s
Atlas
2.0.1
postgresql 312 0.087134s 0.006556s 0.018190s 0.047290s 0.007390s
Propel2
6cb272b6
postgresql 312 0.110159s 0.014229s 0.014856s 0.055255s 0.013091s
PHPFUIBatch
3.0.3
postgresql 312 0.113062s 0.007867s 0.020687s 0.070149s 0.005208s
PHPFUI
3.0.3
postgresql 312 0.114270s 0.009542s 0.020993s 0.067045s 0.008439s
Doctrine
3.6.2
postgresql 312 0.142154s 0.026714s 0.025516s 0.040808s 0.005015s
ActiveRecord
2.0.6
postgresql 312 0.144547s 0.020455s 0.026765s 0.083933s 0.004414s
DivergenceV3
3.2.0
postgresql 312 0.164651s 0.019835s 0.032624s 0.094923s 0.008395s
Yii
2.0.54
postgresql 312 0.176367s 0.026880s 0.034317s 0.085546s 0.013103s
CakeCached
5.3.3
postgresql 312 0.239076s 0.073319s 0.036618s 0.108095s 0.007348s
Cake
5.3.3
postgresql 312 0.240559s 0.068267s 0.038341s 0.112259s 0.007682s
RedBean
5.7.5
postgresql 312 0.273632s 0.039279s 0.009845s 0.195221s 0.012134s
Eloquent
13.2.0
postgresql 312 0.306529s 0.046741s 0.041363s 0.154995s 0.016969s